Machine Learning in Transportation: Learning Mobility Patterns from Big Data

Authors: Cynthia Chen*,
Topics: Urban Geography, Spatial Analysis & Modeling
Keywords: Big data, human mobility dynamics
Session Type: Virtual Paper
Day: 4/10/2021
Start / End Time: 8:00 AM / 9:15 AM
Room: Virtual 9
Presentation File: No File Uploaded


This talk will introduce location- and time-relevant data used for inferring individual activity and travel patterns, which are crucial for effective contact tracing. Specifically, the talk will focus on various data related issues in inferring mobility patterns and how these issues may affect the quality of mobility patterns inferred. The talk will conclude by offering some future directions in the area.

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